IntelligentTide
Practical commodity trading education for futures, options, and global market analysis
We've been training commodity traders in Southeast Asia since 2019. Our programs focus on practical skills you'll actually use—not theory that sits on a shelf. Most of our graduates go on to work at trading desks across Bangkok, Singapore, and Hong Kong, but we can't promise you'll land a specific job or salary.
Our next cohort starts in September 2025. Classes run evenings and weekends so you can keep your current work schedule. We cap each group at 18 students because real learning happens through discussion and feedback.
Pick the track that matches where you are now. You can always come back for another program later—about 30% of our students do.
Start here if commodity markets are new to you. We cover agricultural commodities, metals, and energy basics. You'll learn to read market reports, understand supply chains, and spot trading opportunities.
This isn't a "get rich quick" program. It's 12 weeks of evening classes where you'll build real skills with actual market data.
For traders who already know the basics. We spend 8 weeks on chart patterns, volume analysis, and timing strategies. You'll work with historical data to test your ideas before risking real capital.
Our instructor, Patiphan Rungsri, traded rice futures in Chicago for six years. He'll show you what works and what doesn't from actual trading floors.
The most important skill nobody teaches. We focus on position sizing, portfolio balance, and managing drawdowns. You'll learn the math behind proper risk control.
This program attracts people who've been trading for a while and want to stay in the game long-term. Small class size—just 12 students per session.
Focus on Southeast Asian commodity flows—rubber from Thailand, palm oil from Indonesia and Malaysia, coffee from Vietnam. Regional markets have their own patterns that global traders often miss.
Good for traders who want to focus on markets closer to home where they might have information advantages.
We don't lecture for three hours straight. Each session mixes short explanations with hands-on work. You'll spend more time analyzing charts and data than listening to presentations.
Students bring their laptops. We work through real market scenarios together. When someone finds an interesting pattern or makes a mistake, we talk about it as a group.
All four of our core instructors still trade actively. They're not full-time teachers—they're working traders who share what they've learned through years of actual market experience.
Traded agricultural futures in Chicago and Bangkok for 12 years. Now manages a small fund focused on Southeast Asian commodities. Teaches our Foundations and Regional Markets programs.
Spent eight years as a metals trader before moving into algorithmic trading. He'll show you how to backtest ideas properly without fooling yourself with hindsight bias.
Risk manager at a regional trading house. Teaches our Risk Management Intensive. He's seen every way traders blow up their accounts and knows how to prevent it.
Technical analyst who's been reading commodity charts since 2011. Former instructor at a trading firm in Singapore. Runs our Technical Analysis Deep Dive program.
All prices include course materials, data access during the program, and three months of alumni Discord access. We don't do payment plans, but you can pay by bank transfer or credit card.
We believe you learn trading by doing it—not by memorizing theories. Every concept gets tested with real data. If something doesn't hold up under scrutiny, we tell you that too.
Trading education has too much fluff and not enough honesty. We skip the motivational speeches and focus on actual skills that help you analyze markets better.
Brief explanation of a trading principle or analytical tool. We keep lectures short—usually 20 minutes max.
You immediately work with current market data to see how the concept plays out in practice. We catch misunderstandings early this way.
Use historical data to backtest ideas. Learn what worked in past markets and what failed. This builds pattern recognition.
Share findings with classmates. Often the best insights come from comparing different approaches to the same market situation.